Snapshot
Continue to About ↓- What it does
- Great Question is an AI UX research platform that combines participant recruitment, study scheduling, interviewing, analysis and a shared research repository in one place.
More detail
- It lets researchers and research-ops teams give product managers and designers a governed way to run studies, with every finding traceable back to the sessions and quotes behind it.
- Best for
- Research and research-ops teams that need to scale customer research across many PMs and designers while keeping control of who gets contacted, what data they see and where it goes.
More detail
- Also fits teams that recruit from their own Salesforce, Snowflake or CSV customer data and want recruitment, methods and analysis in one tool.
- Pricing
- Self-serve is $129 per seat per month, or $1,290 per seat per year when billed annually (two months free), capped at 5 seats, with unlimited free observer seats and a 14-day free trial.
More detail
- Self-serve includes 100 research participants and 100 hours of video storage; external recruitment and participant
- Main limitation
- Teams that need more than five seats on a self-serve plan, or that depend on SSO/SCIM, card sorting, tree testing, focus groups, the MCP server, AI-moderated interviews or HIPAA without buying Enterprise.
More detail
- Also a poor fit for anyone expecting a free plan, since only a 14-day self-serve trial is offered.
- Record
- Living and monitored
- Reviewed
- Evidence
- Public web research
- Machine access
- Structured profile ↗
About
- Great Question is an AI UX research platform that combines participant recruitment, study scheduling, interviewing, analysis and a shared research repository in one place.
- It lets researchers and research-ops teams give product managers and designers a governed way to run studies, with every finding traceable back to the sessions and quotes behind it.
What it helps with
- Recruitment is slow and scattered across disconnected tools, causing delays and no-shows.
- Research findings are spread across many tools, so insights get lost and studies get repeated.
- Non-researchers such as PMs and designers lack a standard process and either improvise or wait.
- Scaling research feels risky when participant data lives in spreadsheets and consent, PII and permissions fall through t
- Research operations work eats time that research teams would rather spend on studies.
Capabilities
A practical view of what is available and where limitations apply.
| Offering | Available | Detail |
|---|---|---|
| Participant recruitment from your own customer data | Yes | Salesforce, Snowflake or CSV sources on Enterprise; self-serve recruiting of your own customers carries no per-participant fee. |
| External participant panel | Limited | Vendor cites a 7.5M+ participant network and the User Interviews panel, but panel recruitment is a paid add-on and User Interviews is Enterprise-only. |
| Human-moderated user interviews | Yes | 1:1, collective, round-robin and rolling scheduling with observer rooms. |
| AI-moderated interviews | Limited | Enterprise add-on only; vendor says it suits high-volume discovery and concept testing rather than sensitive or executive interviews, and localization is partly marked coming soon. |
| Surveys and unmoderated prototype testing | Yes | Surveys with skip logic, screeners and AI analysis; prototype tests on prototypes, websites and flows with AI summaries. |
| Card sorting, tree testing and focus groups | Limited | Available only on Enterprise plans. |
| AI research repository and analysis | Yes | Searchable, AI-tagged repository with cross-study synthesis; vendor states every quote links back to its original transcript. |
| Research governance controls | Limited | Eligibility rules, contact limits and PII visibility by role are stated; custom consent, data retention, SSO/SCIM and audit logs are Enterprise. |
| MCP server for AI assistants | Limited | Included with Enterprise plans, connecting to Claude, ChatGPT, Copilot and Gemini. |
| HIPAA compliance | Limited | Enterprise add-on; SOC 2 Type II and GDPR are stated generally. |
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Evidence
Where this record came from, when it was reviewed, and how confidently it can be used.
- Verification
- Scribble researched these facts from the linked public sources.
- The owner has not manually confirmed every field.
- Last reviewed
- Primary source
- greatquestion.com
Technical profile details
Record ID
1335ecc7-1ade-4f06-be85-3986c2b79372Canonical URLhttps://profiles.scribble.network/listing/great-question-1335ecc7